Where rule-based machine vision has not been attempted or has reached its limits, there is a high potential for deep learning algorithms to support employees and drive forward automation.

Overall Equipment Effectiveness (OEE) continues to gain in popularity as manufacturing teams seek to quantify plant and machine-level performance to find ways each area can be improved and keep production lines running at peak efficiency.

Today’s manufactured components are more complex than ever, with more parts diversity, more model year changes and tighter tolerances than ever before.

How can a QMS help your organization to achieve a strategic culture of quality? What can you learn from the unique challenges other organizations face in different industries? 

Are you a manufacturer researching ways to improve and increase productivity, as your cast parts become more complex?

Finding new talent can be an extremely difficult process for any organization, in any industry.

The aerospace industry is known for manufacturing parts with critical dimensions and tight tolerances. Despite the high-demanding inspections they are required to perform, important players in the industry have managed to reduce bottlenecks and detect problems early in the manufacturing process.

79% of organizations are still managing shop floor quality processes with spreadsheets and paper. But the truth is, to remain competitive and reduce risk across your operations, it's time to modernize your programs and say goodbye to the spreadsheets.

The survival requirements of a part identification mark is an essential function to determine what marking system or method is best used.

Production-orientated laser powder bed fusion (LPBF) machines increasingly feature multiple lasers to boost build rates. Overlapping fields of view enable these lasers to operate independently on separate parts, or to cooperate on single large components. Such flexible use of multiple lasers in close proximity to one another raises productivity and lowers part costs.